
EIQ, the only AI-native, end-to-end automation platform designed around whole-process orchestration, it enables processes to think, act and continuously improve themselves. Built atop an agentic mesh…

EIQ, the only AI-native, end-to-end automation platform designed around whole-process orchestration, it enables processes to think, act and continuously improve themselves. Built atop an agentic mesh…
Company: EvoluteIQ — AI-native enterprise automation platform
Founded: 2019
Product: EIQ Agentic Automation Platform (GenIQ, ML Studio)
Customers / Verticals: Large enterprises across banking, insurance, healthcare, retail, telecom, energy, logistics
Recent funding: $53M minority growth investment led by Baird Capital; prior $20M equity/debt led by Round2 Capital
Employee count: 121
Enterprise process automation and orchestration for large enterprises
2019
Software Development
$53M
Announced as a $53M minority growth investment to accelerate global expansion
$20M
Presented as $20M in equity and debt with participation from Nordea Growth Fund, DCAP Select and PH Ventures
“Backed by institutional growth investors including Baird Capital and Round2 Capital”
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About the Company
EvoluteIQ is committed to driving innovation and excellence in technology solutions. Our mission is to empower businesses through advanced AI and machine learning capabilities, fostering a culture of collaboration and continuous improvement.
About the Role
As a technical leader at EvoluteIQ, you will provide direction and mentorship to the development team, ensuring the delivery of high-quality software solutions while driving architectural decisions and best practices.
Responsibilities
Qualifications
Required Skills
Preferred Skills
Equal Opportunity Statement
EvoluteIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Generative AI & ML
Experience with LangChain, LangGraph, HuggingFace, spaCy, scikit-learn.
Familiarity with LLM integration, prompt engineering, vector stores, retrieval methods, embeddings.
Cloud & DevOps
Experience deploying production systems on AWS/Azure/GCP.
Strong with Docker; knowledge of Kubernetes desirable.
CI/CD experience, observability & monitoring tools.
Architecture & Software Quality
Expertise in scalable, modular systems & reusable frameworks.
Experience with microservices, messaging queues, caching.
Strong debugging, optimization & performance tuning.
Strong code review & quality enforcement.